LLM Inference Engineer (Hardware-Software)

QUALCOMM, Inc.; San Diego (CA); Presencial; USD 123.000 - 184.000; Jornada completa

Descripción de la vacante

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools for efficient ML solutions across verticals.

You will collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products using ML hardware and software. The role requires deep ML expertise, strong programming in Python/C++, and experience with ML frameworks and embedded systems.

Formación

• Bachelor or higher in CS/Engineering/IS with 6+ years in related work.
• Master’s with 5+ years in hardware/software/systems engineering.
• PhD with 4+ years in hardware/software/systems engineering.

Responsabilidades

• Leverages advanced ML knowledge to extend training or runtime frameworks.
• Models and develops highly advanced ML hardware for inference or training.
• Develops optimized software to enable AI models on hardware and collaborates with hardware teams.
• Leads development and application of ML techniques into products or AI solutions.
• Oversees experiments to train and evaluate ML solutions.

Conocimientos

Machine Learning

Python

C/C++

Statistics & Probability

Linux

Android

Embedded Systems

Educación

Bachelor's degree in CS/Engineering/IS

Master's degree in CS/Engineering/IS

PhD in CS/Engineering/IS

Herramientas

TensorFlow

Caffe

Caffe2

PyTorch

Keras

Descripción del empleo

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools for efficient ML solutions across verticals.

You will collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products using ML hardware and software. The role requires deep ML expertise, strong programming in Python/C++, and experience with ML frameworks and embedded systems.